Prof. Dr. Christopher Mutschler

Department Computer Science & Artificial Intelligence
Machine Learning and Positioning Systems

About

Prof. Dr. Christopher Mutschler has been a Full Professor at the University of Technology Nuremberg (UTN) since 2026 and heads the Machine Learning and Positioning Systems research group. At the same time, he is also Division Director for “Positioning and Networks” at Fraunhofer IIS in Nürnberg. His work combines fundamental research in the field of machine learning with the design and deployment of real-world wireless systems.

His research focuses on reinforcement learning and machine learning methods for wireless communications, with particular emphasis on wireless sensing and positioning. He investigates how learning-based approaches can enable adaptive, robust, and efficient wireless systems, especially in complex and dynamic environments. Prof. Mutschler combines methodological advances in learning and signal processing with application-oriented challenges to develop algorithms and systems that are not only theoretically sound but also scalable and deployable in real-world scenarios. His work has contributed to advancing intelligent wireless sensing, localization, and networked systems, often in close collaboration with industry and interdisciplinary partners.

Prof. Mutschler has co-authored more than 100 peer-reviewed publications and has received several best paper and live demonstration awards. He is actively engaged in the scientific community and serves as an Action Editor for Transactions on Machine Learning Research (TMLR) and as an Area Chair for NeurIPS. He is also regular reviewer for premier machine learning conferences, including ICLR, NeurIPS and ICML, for which he has repeatedly received outstanding reviewer awards.

Curriculum Vitae

Since 2026 Full Professor at the University of Technology Nuremberg
Since 2024 Division Director „Positioning and Networks“ at Fraunhofer IIS
2020 Interim Professor for Data Science at LMU Munich
2019 Research Visit at Georgia Institute of Technology, Atlanta
2013 – 2024 Holding various positions at Fraunhofer IIS
(Chief Scientist, Group Manager, Department Manager)
2014 PhD at FAU Erlangen-Nürnberg

Best Paper, Poster and Demonstration Awards

2025 Best Paper Award for “GenAI for Energy-Efficient and Interference-aware Compressed Sensing of GNSS Signals on a Google Edge TPU” at the IEEE/ION Position, Location and Navigation Symposium (Salt Lake City, UT)
2024 Best Paper Award (2nd place) for “Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data” at the International Conference on Localization and GNSS 2024 (ICL-GNSS) (Antwerp, Belgium).
2023 Best Paper Award for “An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients” at the IEEE International Conference on Quantum Computing and Engineering (QCE) (Bellevue, Washington).
2023 Best Paper Award for “Multipath Delay Estimation in Complex Environments using Transformer” at the 13th International Conference on Indoor Positioning and Indoor Navigation (Nuremberg, Germany)
2023 Best Poster Award for “Domain Adaptation for Time Series Classification to Mitigate Covariate Shift“ at the International Bavarian Conference on AI (AI.BAY).
2022 Best Paper Award for “Delay Estimation in Dense Multipath Environments using Time Series Segmentation” at the IEEE Wireless Communications and Networking Conference (WCNC) (Austin, TX, USA)
2021 Best Paper Award for “Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning” at the 32nd IEEE Intelligent Vehicles Symposium (Nagoya, Japan).
2018 Best Paper Award for “Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems” at the 9th International Conference on Indoor Positioning and Indoor Navigation (Nantes, France)
2015 Best Poster and Demonstration Award for “Approximative Event Processing on Sensor Data Streams” at the 9th ACM International Conference on Distributed Event-Based Systems (Oslo, Norway)
2014 Best Grand Challenge Paper Award for “Predictive Load Management in Smart Grid Environments” at the 8th ACM International Conference on Distributed Event-Based Systems (Mumbai, India)
2013 Best Poster and Demonstration Award for “Do Event-Based Systems have a Passion for Sports?” at the 7th ACM International Conference on Distributed Event-Based Systems (Arlington, Texas)

Publications

List of publications of Prof. Dr. Christopher Mutschler on Google Scholar